Project BriefWe are seeking a high-caliber AI Specialist to build and scale advanced machine learning systems.
You will be responsible for developing state-of-the-art models using Deep Learning and Transformer architectures while ensuring absolute reproducibility through expert-level MLOps.
This role is at the intersection of rigorous mathematics and elite engineering, focusing on creating elegant solutions to complex AI problems.Project BriefWe are seeking a high-caliber AI Specialist to build and scale advanced machine learning systems.
You will be responsible for developing state-of-the-art models using Deep Learning and Transformer architectures while ensuring absolute reproducibility through expert-level MLOps.
This role is at the intersection of rigorous mathematics and elite engineering, focusing on creating elegant solutions to complex AI problems.Location: Remote LATAMMust-HavesMachine Learning & Frameworks: Strong proficiency in PyTorch or TensorFlow/Keras and hands-on experience with the Hugging Face ecosystem (Transformers, Datasets, Accelerate).
MLflow Mastery: Expert knowledge of MLflow Tracking, Projects, and Models for full lifecycle management.Engineering Excellence: Expert-level Python (OOP, asynchronous programming) and advanced Git workflows including DVC.Core Mathematics: Deep theoretical understanding of the Attention Mechanism, Gradient Descent, and Linear Algebra.Deployment & Tooling: Proficiency with Docker and building/securing REST/gRPC APIs for model serving.Nice to HaveGenerative AI: Familiarity with RAG architectures and vector databases such as Pinecone, Milvus, or Weaviate.Advanced MLOps: Experience with MLflow Recipes for standardized production workflows and basic Kubernetes orchestration.Efficiency & Scale: Experience with DeepSpeed, ONNX Runtime, or NVIDIA TensorRT, and knowledge of distributed training (Ray, Horovod, or DDP).
Cloud Platforms: Hands-on experience with AWS SageMaker, GCP Vertex AI,



or Azure ML.What You Will DoModel Development: Design and implement Deep Learning models and Transformers, using classical ML (Scikit-learn, XGBoost) for baseline comparisons.Standardize Workflows: Lead the implementation of reproducible ML environments using MLflow and Data Version Control (DVC).
Production Engineering: Build, profile, and secure high-performance APIs to serve models in production environments.Cross-Functional Delivery: Work within 1-week sprints to move fast from research to delivery, ensuring robust and scalable AI solutions.Why This Could Be Your Next Big MoveWork on Cutting-Edge Tech at Scale - This is a unique opportunity to join an elite digital product agency where you will apply deep mathematical concepts to real-world products.
You will have high influence over the AI architecture and MLOps standards, working in a fast-paced environment that prioritizes technical excellence and elegant engineering.
If you are looking to bridge the gap between research-level AI and production-grade delivery, this is the place to do it.Benefits & CompensationFully Remote - work from anywhere in Latin America.Long-term contract - starting with a 6-month contract, then full-time.Paid PTO - details provided per role.Referral Program - earn a bonus for referring talent that gets hired.To ApplyPlease send your resume in English.LinkedIn Profile URL (Required).
GitHub Repository - mandatory for this engineering-heavy AI role (Required).
Cover Letter (Optional but encouraged) - tell us about the most complex Attention-based model you have deployed to production.About OneSeven TechFounded by James Sullivan, OneSeven Tech is a premier digital product agency serving startups and enterprises.
Our clients have collectively raised over $100M in VC, and our enterprise partners include NASDAQ-listed companies.
We work fully remote, move fast with 1-week sprints, and focus on elegant solutions to complex problems.
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📌 General Ai Specialist - Pytorch, Mlflow, & Transformers (Mendoza)
🏢 OneSeven Tech (OST)
📍 Mendoza